"Sustainability, Ethics and Entrepreneurship"
Bibliographic record
Abstract
Environmental issues, poverty, inequality, corruption and social discontent are intricately linked with business activity, and as such, they cannot be disentangled or addressed in isolation. The needs to understand the Earth and its limited resources, security for humankind and justice for society mean that the demand for social science knowledge is increasing. The fact that sustainability and ethics are intertwined with the concepts of business and organizations (including NGOs) is no longer new. Indeed, ethical choices are critical to any business activity and thus influence how startups, small firms, medium enterprises, and large, multinational corporations-whether those are for profit or not- influence the sustainability of the environment and society. We actually suggest that sustainability, ethics, and entrepreneurship triangulate and give meaning to every ecological consideration, social value, and economic opportunity. The goal of the symposium, then, is to advance knowledge about the meaning and intersection of sustainability, ethics, and entrepreneurship. When Internal Representation Leads to Faultlines: A Study of Board Performance in Social Enterpris Presenter: Saskia Crucke; Ghent U. Presenter: Mirjam Knockaert; Ghent U. Crowding Out Effects of Well-Intended Environmental Policies Presenter: Richard Hunt; Virginia Polytechnic Institute Presenter: Bret Ryan Fund; U. of Colorado, Boulder How Social Entrepreneurs Facilitate the Adoption of New Industry Practices Presenter: Theodore L. Waldron; Baylor U. Presenter: Greg Fisher; Indiana U. Presenter: Michael D. Pfarrer; U. of Georgia A Theoretical Exploration of Why Firms Delay Reaching True Sustainability Presenter: Anton Shevchenko; Concordia U. Presenter: Moren Levesque; York U. Presenter: Mark Pagell; U. College Dublin
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".